If you build web agents, this one is worth your time. It's on how to make agent skills reusable. (bookmark it) LLM web agents usually run as tool callers. Each turn, the model reads a fresh page and emits one low-level action, so horizons and policy-facing LLM completions both
AUTOMATION
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LFM2.5-ColBERT-350M reliably selects top 5 tools from 151
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LFM2.5-ColBERT-350M is a surprisingly reliable smart tool selector.
— Maxime Labonne (@maximelabonne) 18 juin 2026
We gave it 151 tools, and it consistently surfaces the 5 most relevant ones based on the user prompt.
This saves tokens and improves accuracy. Ideal for hmmmm agentic edge models? 👀 pic.twitter.com/IPyizctesULFM2.5-ColBERT-350M is a surprisingly reliable smart tool selector. We gave it 151 tools, and it consistently surfaces the 5 most relevant ones based on the user prompt. This saves tokens and improves accuracy. Ideal for hmmmm agentic edge models?
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Technology integrated into human collaboration via Viktor in Teams
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I like when technology is placed inside the flow of human collaboration, where people already work together every day.
— Antonio Grasso (@antgrasso) 18 juin 2026
Viktor brings this idea into Microsoft Teams as an AI employee designed to support the team in its everyday work.@viktor__com Partner. https://t.co/BpYcuvjRqRI like when technology is integrated into the flow of human collaboration, where people already work together every day. Viktor embodies this idea within Microsoft Teams as an AI employee designed to support the team in its daily work. @viktor__com
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Viktor, AI employee for Microsoft Teams, reads 3,000 tools
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Microsoft Teams users can now hire Victor as an AI employee to get support with their goals.
— 🚨 AI News | TestingCatalog (@testingcatalog) 18 juin 2026
Viktor can read from and write to more than 3,000 tools and maintain persistent memory across sessions, so it picks up where a team left off instead of starting over each day.
Zeta… https://t.co/2cr7KzSmN1 pic.twitter.com/dapOAicUruMicrosoft Teams users can now hire Viktor as an AI employee to get support in achieving their goals. Viktor can read and write in more than 3,000 tools and maintain a persistent memory between sessions, so that
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Viktor, shared AI agent, arrives in Microsoft Teams
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Viktor is now showing up in Microsoft Teams, Agents are thus entering the next significant work environment.
— Chubby♨️ (@kimmonismus) 18 juin 2026
The promise is exciting: one AI the whole team shares, that remembers your work and ships finished output, not just answers.
They proved that on Slack and reached… https://t.co/Vdi9QTRRhNViktor now appears in Microsoft Teams, agents thus enter the next significant work environment. The promise is exciting: a single AI that the whole team shares, that remembers your work and delivers finished results, not just
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Discussion on AI agents and Codex momentum at VivaTech
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Great discussion with @thsottiaux and @steipete on the VivaTech main stage, led by @CharliePerreau
. We’ve moved from conversations with AI to systems that can take action and pursue goals. The momentum behind Codex and agents is impossible to miss! -
Research agents excel at resolving implementation issues, not novel discoveries
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1/N Model capabilities today are subpar for end-to-end autonomous research, what we would categorize as the ability to make “novel discoveries”. However, in our experimentation, research agents have proven to be an excellent way to resolve implementation issues and carry out
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Presentation of auto-search for arXiv articles via autoarxiv
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Introducing autoresearch for arXiv papers
— alphaXiv (@askalphaxiv) 18 juin 2026
Change 'arxiv' to 'autoarxiv' in any paper URL
An agent deploys to resolve setup issues on the codebase, run a minimal reproduction, and estimate full replication cost. Read more below pic.twitter.com/2UHVqbT7EuPresentation of auto-search for arXiv articles. Replace 'arxiv' with 'autoarxiv' in any article URL. An agent deploys to resolve configuration problems in the codebase, run a minimal reproduction, and estimate the replication cost.
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Separate discussion thread for managing long-term goals
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My best advice for long-term goals is to have a separate discussion thread (or /side) where you can ask the agent to review the work on your goal and debate how to update the guidelines for it so it doesn't derail.
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Autonomous AI is here, but are enterprises ready?
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Autonomous AI Is Here, But Are Enterprises Ready? https://
x.com/i/broadcasts/1
RJZzzALRXoJB
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